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Codebook for 'Moderation or Strategy? Political Giving by Corporations and Trade Groups
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object 'cont_sc' (contained in 'ST19_JOP_replication.RData') 
Table containing auxiliary data for legislators, candidates, and lobbying principals

Table of NP scores (Shor and McCarty 2018), CFscores (Bonica 2016) and classifications of lobbying organizations and politicians with estimated ideal points. The 2015 observations include all lobbying principals and politicians from the estimation based on the vote matrix with the most lenient minimum vote thresholds (minimum of 9 voters per vote, 15 votes per voter, and a minimum of 2 votes cast in the minority). For details on linking organizations and politicians to observations in the Database on Ideology, Money in Politics, and Elections (DIME) (Version 2.0), see Appendix F. See Appendix B.1 for details on the coding of organizations as corporations and trade groups. All variables containing values from Shor and McCarty (2018) start with 'npat'. All variables containing values from DIME 2.0 (Bonica 2016) start with 'bonica2'.

1) 'name'

2) 'npat_name'

Name from Shor and McCarty (2018)

3) 'npat_party'

Party affiliation from Shor and McCarty (2018)

4) 'npat_st'

State from Shor and McCarty (2018)
 
5) 'npat_score'

NPscore from Shor and McCarty (2018)

6) 'check'

Variable indicating if ideal point for observation was estimated at least in part on the basis of roll call votes

7) 'bonica2_cf_r'    

'recipient.cfscore' of linked observation
              
8) 'bonica2_cid_most'              

Contributor ID ('bonica.cid') of linked observation with estimated CFscore ('is.projected' == 0) and the highest amount of total contributions from 2003 through 2014

9) 'bonica2_cid_most_co'

Contributor ID ('bonica.cid') of linked observation with estimated CFscore ('is.projected' == 0) and the greatest number of distinct contributions ('num.distinct')
           
10) 'bonica2_cid_most_projected'    

Contributor ID ('bonica.cid') of linked observation with projected CFscore ('is.projected' == 1) and the highest amount of total contributions from 2003 through 2014 

11) 'bonica2_cid_most_co_projected' 

Contributor ID ('bonica.cid') of linked observation with projected CFscore ('is.projected' == 1) and greatest number of distinct contributions (variable 'num.distinct') 

12) 'bonica2_cf_most'               

Contributor CFscore ('contributor.cfscore') of linked observation with estimated CFscore ('is.projected' == 0) and the highest amount of total contributions from 2003 through 2014

13) 'bonica2_cf_most_co'

Contributor CFscore ('contributor.cfscore') of linked observation with estimated CFscore ('is.projected' == 0) and the greatest number of distinct contributions ('num.distinct')
           
14) 'bonica2_cf_most_projected'     

Contributor CFscore ('contributor.cfscore') of linked observation with projected CFscore ('is.projected' == 1) and the highest amount of total contributions from 2003 through 2014 

15) 'bonica2_cf_most_co_projected'  

Contributor CFscore ('contributor.cfscore') of linked observation with projected CFscore ('is.projected' == 1) and greatest number of distinct contributions (variable 'num.distinct') 

16) 'bonica2_am_most'               

Sum of contributions ('amount_2004' through 'amount_2014') of linked observation with estimated CFscore ('is.projected' == 0) and the highest amount of total contributions from 2003 through 2014

17) 'bonica2_am_most_co'            

Sum of contributions ('amount_2004' through 'amount_2014') of linked observation with estimated CFscore ('is.projected' == 0) and the greatest number of distinct contributions ('num.distinct')

18) 'bonica2_am_most_projected'     

Sum of contributions ('amount_2004' through 'amount_2014') of linked observation with projected CFscore ('is.projected' == 1) and the highest amount of total contributions from 2003 through 2014

19) 'bonica2_am_most_co_projected'  

Sum of contributions ('amount_2004' through 'amount_2014') of linked observation with projected CFscore ('is.projected' == 1) and the greatest number of distinct contributions ('num.distinct')

20) 'bonica2_nd_most'  

Number of distinct contributions ('num.distinct') of linked observation with estimated CFscore ('is.projected' == 0) and the highest amount of total contributions from 2003 through 2014
             
21) 'bonica2_nd_most_co'            

Number of distinct contributions ('num.distinct') of linked observation with estimated CFscore ('is.projected' == 0) and the greatest number of distinct contributions ('num.distinct')

22) 'bonica2_nd_most_projected'     

Number of distinct contributions ('num.distinct') of linked observation with projected CFscore ('is.projected' == 1) and the highest amount of total contributions from 2003 through 2014

23) 'bonica2_nd_most_co_projected'  

Number of distinct contributions ('num.distinct') of linked observation with projected CFscore ('is.projected' == 1) and the greatest number of distinct contributions ('num.distinct')

24) 'bonica2_corp_most'   

Value of variable ('is.corp') of linked observation with estimated CFscore ('is.projected' == 0) and the highest amount of total contributions from 2003 through 2014
          
25) 'bonica2_corp_most_co'          

Value of variable ('is.corp') of linked observation with estimated CFscore ('is.projected' == 0) and the greatest number of distinct contributions ('num.distinct')

26) 'bonica2_corp_most_projected'   

Value of variable ('is.corp') of linked observation with projected CFscore ('is.projected' == 1) and the highest amount of total contributions from 2003 through 2014

27) 'bonica2_corp_most_co_projected'

Value of variable ('is.corp') of linked observation with projected CFscore ('is.projected' == 1) and the greatest number of distinct contributions ('num.distinct')

28) 'bonica2_cid_most_overall'      

Contributor ID ('bonica.cid') of linked observation with either estimated or projected CFscore ('is.projected') and the highest amount of total contributions from 2003 through 2014

29) 'bonica2_cid_most_co_overall'   

Contributor ID ('bonica.cid') of linked observation with either estimated or projected CFscore ('is.projected') and the greatest number of distinct contributions ('num.distinct')

30) 'bonica2_cf_most_overall'

Contributor CFscore ('contributor.cfscore') of linked observation with either estimated or projected CFscore ('is.projected') and the highest amount of total contributions from 2003 through 2014
    
31) 'bonica2_cf_most_co_overall'    

Contributor CFscore ('contributor.cfscore') of linked observation with either estimated or projected CFscore ('is.projected') and the greatest number of distinct contributions ('num.distinct')

32) 'bonica2_am_most_overall'     

Sum of contributions ('amount_2004' through 'amount_2014') of linked observation with either estimated or projected CFscore ('is.projected') and the highest amount of total contributions from 2003 through 2014
  
33) 'bonica2_am_most_co_overall'    

Sum of contributions ('amount_2004' through 'amount_2014') of linked observation with either estimated or projected CFscore ('is.projected') and the greatest number of distinct contributions ('num.distinct')

34) 'bonica2_nd_most_overall'

Number of distinct contributions ('num.distinct') of linked observation with either estimated or projected CFscore ('is.projected') and the highest amount of total contributions from 2003 through 2014
       
35) 'bonica2_nd_most_co_overall'    

Number of distinct contributions ('num.distinct') of linked observation with either estimated or projected CFscore ('is.projected') and the greatest number of distinct contributions ('num.distinct')

36) 'cat'

Classification of contributors:

C = For-profit corporation
C/W = Law/lobbyist firm
I/S = Ideological/Single issue group
L = Labor union
M = Membership organization
T = Trade association
V/T = Cooperative
OTHER = Other
                     
37) 'corp_trade'                    

0: {cat=='I/S'|cat=='L'|cat=='M'|cat=='V/T'|cat=='OTHER'}
1: {cat=='C'|cat=='C/W'}
2: {cat=='T'}

38) 'X'  

Classification into 13 sectors based on the Center for Responsive Politics classification (see https://www.opensecrets.org/industries/slist. php and https://www.opensecrets.org/downloads/crp/CRP_Categories.txt for details) 

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References
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Bonica, Adam. 2016. Database on Ideology, Money in Politics, and Elections:
Public Version 2.0 [Computer File]. Stanford, CA: Stanford University Libraries.
http://data.stanford.edu/dime (accessed November 25, 2017).

Shor, Boris, and Nolan McCarty. 2018. Individual State Legislator Shor-McCarty 
Ideology Data, May 2018 update [Computer file]. Cambridge, MA: Harvard Dataverse, V2. https://doi.org/10.7910/DVN/6QWX7Q (accessed June 8, 2018). 